… formulate a fusion filter to integrate GPS and DR, namely model decomposition Kalman filter.
To this … work and decompose the process model into a set of model families by following a …

… -based attitude estimation method for land-vehicle applications by sequentially fusing MARG
sensors and GNSS-V. The structure of cascaded indirect Kalman filters (IKF) is devised to …

… and the strategy to estimate the forward speed of a car using low-… Kalman filters that exploit
the proposed model and combine it with relevant sources of position corrections for ground …

… involved in the control system for a self-driving vehicle. In [17], different from the DREKF
version stated in the present work, the Kalman filter gain is only updated at the slow rate, and …

… environments, we propose an adaptive Kalman filter navigation algorithm (which is simply
… as the reward, the adaptive Kalman filter navigation algorithm uses the deep deterministic …

… on compliant ground, and it … car dynamic model forms the basis of the combined state and
parameters estimation problem that is solved by resorting to the novel cubature Kalman filtering…

… In this paper, an Extended Kalman Filter is adopted to estimate simultaneously the vehicle
… and measurements of the vehicle’s response ( r g , a y ) are input to the filter that recursively …

… , the well-known Kalman filtering (KF) theory is one of the optimal filtering methods to solve …
Kalman filter (EKF) in nonlinear systems [9]. S. Julier proposed unscented Kalman filter (UKF) …

… Kalman filter by adopting artificial bee colony (ABC) algorithm for dynamic tuning. Thus at
first a tractor model is generated where the system inputs are vehicle … extended Kalman filter …

… and unscented Kalman filters (EKF and UKF respectively) to allow estimating the velocities of
the vehicle in local … Both the filters are based on a single track kinematic model to avoid the …